ArticleAnnals of surgical oncology2018
Use of Breast Imaging After Treatment for Locoregional Breast Cancer (AFT-01).
Article in Annals of surgical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02171078 (Post-Treatment Surveillance in Breast Cancer), which is not on this map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Post-Treatment Surveillance in Breast Cancer: Bringing Cost Effectiveness Research (CER) to the Alliance
Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Article
- Early stage breast cancer follow-up in real-world clinical practice: the added value of cell free circulating tumor DNA.Journal of cancer research and clinical oncology · 2022Article
- ASO Author Reflections: Use of Breast Imaging After Treatment for Locoregional Breast Cancer (AFT-01).Annals of surgical oncology · 2019Article
- 'Under' Surveillance: Impact of Race and Socioeconomic Status on Post-Treatment Breast Cancer Imaging.Annals of surgical oncology · 2018Article
Corrections and comments
- Commented on by
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundAnnual mammography is recommended after breast cancer treatment. However, studies suggest its under-utilization for Medicare patients. Utilization in the broader population is unknown, as is the role of breast magnetic resonance imaging (MRI). Understanding factors associated with imaging use is critical to improvement of adherence to recommendations.
methodsA random sample of 9835 eligible patients receiving surgery for stages 2 and 3 breast cancer from 2006 to 2007 was selected from the National Cancer Database for primary data collection. Imaging and recurrence data were abstracted from patients 90 days after surgery to 5 years after diagnosis. Factors associated with lack of imaging were assessed using multivariable repeated measures logistic regression with generalized estimating equations. Patients were censored for death, bilateral mastectomy, new cancer, and recurrence.
resultsOf 9835 patients, 9622, 8702, 8021, and 7457 patients were eligible for imaging at surveillance years 1 through 4 respectively. Annual receipt of breast imaging declined from year 1 (69.5%) to year 4 (61.0%), and breast MRI rates decreased from 12.5 to 5.8%. Lack of imaging was associated with age 80 years or older and age younger than 50 years, black race, public or no insurance versus private insurance, greater comorbidity, larger node-positive hormone receptor-negative tumor, excision alone or mastectomy, and no chemotherapy (p < 0.005). Receipt of breast MRI was associated with age younger than 50 years, white race, higher education, private insurance, mastectomy, chemotherapy, care at a teaching/research facility, and MRI 12 months before diagnosis (p < 0.05).
conclusionUnder-utilization of mammography after breast cancer treatment is associated with sociodemographic and clinical factors, not institutional characteristics. Effective interventions are needed to increase surveillance mammography for at-risk populations. ClinicalTrials.gov Identifier: NCT02171078.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.